Life Expectancy at Birth
Data comes from WTN. Separate CSVs at the census tract geography are available (manual download) for 5y time spans at 1y increments, starting in 2000, until 2020.
The four possible WTN data sets that could be used without
overlapping years include 1,465 records each. This closely matches the
number of records in the 2010 census tract shapefile published by the US Census
Bureau, Geography Division (1,458; in comparison to the 1,784 tracts
in the 2020 shapefile).
Although there are 4 possible data sets (2001-2005, 2006-2010,
2011-2015, 2016-2020), we will be using the three more recent data
sets in the following visuals.
The other data pieces include:
The 2010 and 2015 equity tracts are in 2010 geographies and include ~770 census tracts, each of which are assigned one of the 5 quintile categories for each of the 6 equity demographic groups. The 2010, 2015, an 2020 life expectancy data are available from WTN in 2010 geographies, so the 2020-year data will need to be translated to 2020 geographies to be able to use the 2020 population information.
The data sets need to be cleaned and pivoted to a longer table so that there is only one field for the 6 different equity categories, instead of one field for each.
The life expectancy values are available at the census tract level, but we want to calculate the regional average, using the census bureau’s tract-level population estimates (2010, 2015, 2020).
The life expectancy values are available at the census tract level but we want to calculate the weighted values by the 6 equity/5 quintile groups, using the census bureau’s tract-level population estimates (2010, 2015, 2020).
The regional population in 2010:The y-axis scale is consistent for all equity group facets, but it shifts by county.
The y-axis scale is consistent for all county facets, but it shifts by equity group.
The y-axis scale is consistent for all equity group facets, but it shifts by county.
The y-axis scale is consistent for all county facets, but it shifts by equity group.
The y-axis scale is consistent for all equity group facets, but it shifts by county.
The y-axis scale is consistent for all county facets, but it shifts by equity group.
King: There are 5 charts for the different equity quintiles (high, medium high, medium, low medium, low).
Kitsap: There are 5 charts for the different equity
quintiles (high, medium high, medium, low medium, low).
Pierce: There are 5 charts for the different equity
quintiles (high, medium high, medium, low medium, low).
Snowhomish: There are 5 charts for the different equity
quintiles (high, medium high, medium, low medium, low).
King: There are 6 charts for the different equity groups (POC, low-income, etc.)
Kitsap: There are 6 charts for the different equity
groups (POC, low-income, etc.)
Pierce: There are 6 charts for the different equity
groups (POC, low-income, etc.)
Snohomish: There are 6 charts for the different equity
groups (POC, low-income, etc.)